station

Name: station
Author: cloudshipai

bycloudshipai· 1 MCP server

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How to install station?

cloudshipai/station

$git clone https://github.com/cloudshipai/station

Installs into the current project.

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Install & use

Install station by running `git clone https://github.com/cloudshipai/station`, then use it for the current task and follow its documentation at https://github.com/cloudshipai/station.

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README.md

1	![Station](./station-logo.png)
2
3	# Station - AI Agent Orchestration Platform
4
5	[![Test Coverage](https://img.shields.io/badge/coverage-52.7%25-yellow?style=flat-square)](./TESTING_PROGRESS.md) [![Go Tests](https://img.shields.io/badge/tests-passing-brightgreen?style=flat-square)](./.github/workflows/ci.yml)
6
7	Build, test, and deploy intelligent agent teams. Self-hosted. Git-backed. Production-ready.
8
9	[Quick Start](#quick-start) \| [Real Example](#real-example-sre-incident-response-team) \| [Deploy](#deploy-to-production) \| [Documentation](https://docs.cloudshipai.com)
10
11	---
12
13	## Why Station?
14
15	Build multi-agent systems that coordinate like real teams. Test with realistic scenarios. Deploy on your infrastructure.
16
17	Station gives you:
18	- ✅ Multi-Agent Teams - Coordinate specialist agents under orchestrators
19	- ✅ Built-in Evaluation - LLM-as-judge tests every agent automatically
20	- ✅ Git-Backed Workflow - Version control agents like code
21	- ✅ One-Command Deploy - Push to production with `stn deploy`
22	- ✅ Full Observability - Jaeger traces for every execution
23	- ✅ Self-Hosted - Your data, your infrastructure, your control
24
25	---
26
27	## Quick Start (2 minutes)
28
29	### Prerequisites
30
31	- Docker - Required for Jaeger (traces and observability)
32	- AI Provider - Choose one:
33	- CloudShip AI (Recommended) - `STN_CLOUDSHIP_KEY` or `CLOUDSHIPAI_REGISTRATION_KEY`
34	- `OPENAI_API_KEY` - OpenAI (gpt-5-mini, gpt-5, etc.)
35	- `GEMINI_API_KEY` - Google Gemini
36	- `ANTHROPIC_API_KEY` - Anthropic (claude-sonnet-4-20250514, etc.)
37
38	### 1. Install Station
39
40	```bash
41	curl -fsSL https://raw.githubusercontent.com/cloudshipai/station/main/install.sh \| bash
42	```
43
44	### 2. Initialize Station
45
46	Choose your AI provider:
47
48	<details open>
49	<summary><b>CloudShip AI (Recommended)</b></summary>
50
51	Use CloudShip AI for optimized inference with Llama and Qwen models. This is the default when a registration key is available.
52
53	```bash
54	# Set your CloudShip registration key
55	export CLOUDSHIPAI_REGISTRATION_KEY="csk-..."
56	# Or use: export STN_CLOUDSHIP_KEY="csk-..."
57
58	stn init --provider cloudshipai --ship # defaults to cloudship/llama-3.1-70b
59	```
60
61	Available models:
62	- `cloudship/llama-3.1-70b` (default) - Best balance of performance and cost
63	- `cloudship/llama-3.1-8b` - Faster, lower cost
64	- `cloudship/qwen-72b` - Alternative large model
65
66	</details>
67
68	<details>
69	<summary><b>Claude Max/Pro Subscription (⚠️ DEPRECATED)</b></summary>
70
71	> ⚠️ DEPRECATED: Anthropic OAuth is currently unavailable.
72	>
73	> Anthropic has restricted third-party use of OAuth tokens. This authentication method is not working until further notice.
74	>
75	> Please use one of the following alternatives:
76	> - OpenAI API Key (recommended)
77	> - Google Gemini API Key
78	> - Anthropic API Key (pay-per-token, not subscription-based)
79
80	~~Use your existing Claude Max or Claude Pro subscription - no API billing required.~~
81
82	```bash
83	# ❌ NOT WORKING - Anthropic OAuth disabled
84	# stn init --provider anthropic --ship
85	# stn auth anthropic login
86	```
87
88	</details>
89
90	<details>
91	<summary><b>OpenAI (API Key)</b></summary>
92
93	```bash
94	export OPENAI_API_KEY="sk-..."
95	stn init --provider openai --ship # defaults to gpt-5-mini
96	```
97
98	</details>
99
100	<details>
101	<summary><b>Google Gemini (API Key)</b></summary>
102
103	```bash
104	export GEMINI_API_KEY="..."
105	stn init --provider gemini --ship
106	```
107
108	</details>
109
110	This sets up:
111	- ✅ Your chosen AI provider
112	- ✅ [Ship CLI](https://github.com/cloudshipai/ship) for filesystem MCP tools
113	- ✅ Configuration at `~/.config/station/config.yaml`
114
115	### 3. Start Jaeger (Tracing)
116
117	Start the Jaeger tracing backend for observability:
118
119	```bash
120	stn jaeger up
121	```
122
123	This starts Jaeger UI at [http://localhost:16686](http://localhost:16686) for viewing agent execution traces.
124
125	### 4. Connect Your MCP Client
126
127	Choose your editor and add Station:
128
129	<details>
130	<summary><b>Claude Code CLI</b></summary>
131
132	```bash
133	claude mcp add station -e OTEL_EXPORTER_OTLP_ENDPOINT=http://localhost:4318 --scope user -- stn stdio
134	```
135
136	Verify wi

6 picks

Type

station

bycloudshipai· 1 MCP server

Stars

427

Forks

How to install station?

cloudshipai/station

$git clone https://github.com/cloudshipai/station

Installs into the current project.

›Prefer a prompt? Paste this to your agent

Install & use

Install station by running `git clone https://github.com/cloudshipai/station`, then use it for the current task and follow its documentation at https://github.com/cloudshipai/station.

Files · 1

View on GitHub

README.md

1	![Station](./station-logo.png)
2
3	# Station - AI Agent Orchestration Platform
4
5	[![Test Coverage](https://img.shields.io/badge/coverage-52.7%25-yellow?style=flat-square)](./TESTING_PROGRESS.md) [![Go Tests](https://img.shields.io/badge/tests-passing-brightgreen?style=flat-square)](./.github/workflows/ci.yml)
6
7	Build, test, and deploy intelligent agent teams. Self-hosted. Git-backed. Production-ready.
8
9	[Quick Start](#quick-start) \| [Real Example](#real-example-sre-incident-response-team) \| [Deploy](#deploy-to-production) \| [Documentation](https://docs.cloudshipai.com)
10
11	---
12
13	## Why Station?
14
15	Build multi-agent systems that coordinate like real teams. Test with realistic scenarios. Deploy on your infrastructure.
16
17	Station gives you:
18	- ✅ Multi-Agent Teams - Coordinate specialist agents under orchestrators
19	- ✅ Built-in Evaluation - LLM-as-judge tests every agent automatically
20	- ✅ Git-Backed Workflow - Version control agents like code
21	- ✅ One-Command Deploy - Push to production with `stn deploy`
22	- ✅ Full Observability - Jaeger traces for every execution
23	- ✅ Self-Hosted - Your data, your infrastructure, your control
24
25	---
26
27	## Quick Start (2 minutes)
28
29	### Prerequisites
30
31	- Docker - Required for Jaeger (traces and observability)
32	- AI Provider - Choose one:
33	- CloudShip AI (Recommended) - `STN_CLOUDSHIP_KEY` or `CLOUDSHIPAI_REGISTRATION_KEY`
34	- `OPENAI_API_KEY` - OpenAI (gpt-5-mini, gpt-5, etc.)
35	- `GEMINI_API_KEY` - Google Gemini
36	- `ANTHROPIC_API_KEY` - Anthropic (claude-sonnet-4-20250514, etc.)
37
38	### 1. Install Station
39
40	```bash
41	curl -fsSL https://raw.githubusercontent.com/cloudshipai/station/main/install.sh \| bash
42	```
43
44	### 2. Initialize Station
45
46	Choose your AI provider:
47
48	<details open>
49	<summary><b>CloudShip AI (Recommended)</b></summary>
50
51	Use CloudShip AI for optimized inference with Llama and Qwen models. This is the default when a registration key is available.
52
53	```bash
54	# Set your CloudShip registration key
55	export CLOUDSHIPAI_REGISTRATION_KEY="csk-..."
56	# Or use: export STN_CLOUDSHIP_KEY="csk-..."
57
58	stn init --provider cloudshipai --ship # defaults to cloudship/llama-3.1-70b
59	```
60
61	Available models:
62	- `cloudship/llama-3.1-70b` (default) - Best balance of performance and cost
63	- `cloudship/llama-3.1-8b` - Faster, lower cost
64	- `cloudship/qwen-72b` - Alternative large model
65
66	</details>
67
68	<details>
69	<summary><b>Claude Max/Pro Subscription (⚠️ DEPRECATED)</b></summary>
70
71	> ⚠️ DEPRECATED: Anthropic OAuth is currently unavailable.
72	>
73	> Anthropic has restricted third-party use of OAuth tokens. This authentication method is not working until further notice.
74	>
75	> Please use one of the following alternatives:
76	> - OpenAI API Key (recommended)
77	> - Google Gemini API Key
78	> - Anthropic API Key (pay-per-token, not subscription-based)
79
80	~~Use your existing Claude Max or Claude Pro subscription - no API billing required.~~
81
82	```bash
83	# ❌ NOT WORKING - Anthropic OAuth disabled
84	# stn init --provider anthropic --ship
85	# stn auth anthropic login
86	```
87
88	</details>
89
90	<details>
91	<summary><b>OpenAI (API Key)</b></summary>
92
93	```bash
94	export OPENAI_API_KEY="sk-..."
95	stn init --provider openai --ship # defaults to gpt-5-mini
96	```
97
98	</details>
99
100	<details>
101	<summary><b>Google Gemini (API Key)</b></summary>
102
103	```bash
104	export GEMINI_API_KEY="..."
105	stn init --provider gemini --ship
106	```
107
108	</details>
109
110	This sets up:
111	- ✅ Your chosen AI provider
112	- ✅ [Ship CLI](https://github.com/cloudshipai/ship) for filesystem MCP tools
113	- ✅ Configuration at `~/.config/station/config.yaml`
114
115	### 3. Start Jaeger (Tracing)
116
117	Start the Jaeger tracing backend for observability:
118
119	```bash
120	stn jaeger up
121	```
122
123	This starts Jaeger UI at [http://localhost:16686](http://localhost:16686) for viewing agent execution traces.
124
125	### 4. Connect Your MCP Client
126
127	Choose your editor and add Station:
128
129	<details>
130	<summary><b>Claude Code CLI</b></summary>
131
132	```bash
133	claude mcp add station -e OTEL_EXPORTER_OTLP_ENDPOINT=http://localhost:4318 --scope user -- stn stdio
134	```
135
136	Verify wi

6 picks

Type

station

How to install station?

Related

station

How to install station?

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